Brain-inspired AI startup Unconventional AI has raised $475 million in its seed funding round, with a company valuation of $4 ...

The low power/high efficiency AI semiconductor market is rapidly evolving, driven by demand for devices achieving power efficiency exceeding 10 TFLOPS/W. Spanning neuromorphic and in-memory computing, ...

Neuromorphic computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...

Funding accelerates commercialization of BrainChip’s on-device solutions with Akida 2 and Akida GenAI delivering smarter and faster solutionsLAGUNA HILLS, Calif.--(BUSINESS WIRE)--BrainChip Holdings ...

Inspired by human brain, neuromorphic computing technologies have made important breakthroughs in recent years as alternatives to overcome the power and latency shortfalls of traditional digital ...

Scientists demonstrate neuromorphic computing utilizing perovskite microcavity exciton polaritons operating at room temperature. (Nanowerk News) Neuromorphic computing, inspired by the human brain, is ...

Brain-inspired computing promises cheaper, faster, more energy efficient processing, according to experts at a Beijing conference, who discussed everything from reverse engineering insect brains to ...

The NeuRRAM chip is not only twice as energy efficient as state-of-the-art, it's also versatile and delivers results that are just as accurate as conventional digital chips. Neuromorphic computing—a ...

China’s latest neuromorphic project has pushed a once speculative idea into the realm of claimed reality: a monkey’s brain activity, recreated inside a supercomputer. The country’s researchers say ...

Innatera and 42T to accelerate the adoption of brain-inspired processors in industrial and consumer applications.

VLSI EXPERT collaborating with Innatera to integrate neuromorphic computing technology into its education programme.

Recently, addressing the inherent timescale mismatch challenge between fast and slow responses in optoelectronic sensors, a collaborative team from Suzhou Institute of Nano-Tech and Nano-Bionics ...